The positive impact of extreme heat on vegetation growth in Northeast Asia

植被(病理学) 归一化差异植被指数 环境科学 气候变化 极寒 气候学 生态系统 陆地生态系统 增强植被指数 极端天气 自然地理学 地理 大气科学 生态学 地质学 植被指数 医学 病理 生物
作者
Duqi Liu,Jihao Zhang,Lujie Zhao,Shuqing Zhao,Guishan Cui
出处
期刊:Agricultural and Forest Meteorology [Elsevier BV]
卷期号:347: 109918-109918 被引量:9
标识
DOI:10.1016/j.agrformet.2024.109918
摘要

The intensity and frequency of extreme climatic events have markedly increased in recent decades, leading to remarkable abnormal changes in terrestrial ecosystems. Understanding how vegetation growth responds to these climate extremes is crucial, yet inherently complex. We used two satellite-based vegetation indices to assess vegetation growth: the Normalised Difference Vegetation Index (NDVI) and Enhanced Vegetation Index (EVI). Event coincidence analysis (ECA) and sensitivity analysis were used to determine how extreme climates (extreme heat, cold, wet, and drought) have led to abnormal vegetation growth (vegetation high-growth and vegetation low-growth) over Northeast Asia, which exhibits unique biodiversity and increasingly confronts heightened climate vulnerability. Our results demonstrate that extreme heat promotes vegetation growth, whereas extreme cold adversely affects vegetation growth. Our study also identified a greater sensitivity of forest ecosystems to extreme heat than grasslands and shrublands, with croplands influenced by anthropogenic factors displaying the lowest sensitivity. The beneficial effect of extreme heat on vegetation growth weakens with increasing temperature gradients, but amplifies with rising humidity gradients. This indicated that extreme heat is beneficial for vegetation growth in cold and humid regions. This study identified the division of ecologically sensitive vegetation zones under climate extremes and emphasised the diverse impacts of climate extremes on vegetation growth in Northeast Asia. Our findings can serve as a significant scientific foundation for supporting society's efforts to mitigate and adapt to climate change.
最长约 10秒,即可获得该文献文件

科研通智能强力驱动
Strongly Powered by AbleSci AI
科研通是完全免费的文献互助平台,具备全网最快的应助速度,最高的求助完成率。 对每一个文献求助,科研通都将尽心尽力,给求助人一个满意的交代。
实时播报
gleep1发布了新的文献求助10
刚刚
1秒前
满意的柏柳完成签到 ,获得积分10
1秒前
2秒前
完美世界应助hulala采纳,获得10
2秒前
3秒前
九九发布了新的文献求助30
6秒前
Yina发布了新的文献求助10
7秒前
协和_子鱼发布了新的文献求助10
7秒前
思源应助gleep1采纳,获得10
9秒前
冯二发布了新的文献求助10
10秒前
12秒前
YHT完成签到,获得积分10
16秒前
gleep1完成签到,获得积分10
17秒前
科研通AI5应助风铃鸟采纳,获得50
17秒前
小徐发布了新的文献求助10
17秒前
18秒前
18秒前
李健的粉丝团团长应助11采纳,获得10
22秒前
点点点点发布了新的文献求助10
22秒前
bfr完成签到,获得积分10
23秒前
23秒前
28秒前
舒服的幻梅完成签到 ,获得积分10
28秒前
29秒前
30秒前
点点点点完成签到,获得积分10
30秒前
AATRAHASIS完成签到,获得积分10
30秒前
33秒前
11完成签到,获得积分20
33秒前
岑晓冰完成签到 ,获得积分10
33秒前
qcx发布了新的文献求助30
35秒前
在水一方应助Yina采纳,获得10
35秒前
斯人完成签到 ,获得积分10
36秒前
甘蓝型油菜完成签到,获得积分10
36秒前
11发布了新的文献求助10
37秒前
42秒前
科研通AI5应助空白采纳,获得10
45秒前
45秒前
研友_Z6QEAn应助亦雪采纳,获得20
48秒前
高分求助中
【此为提示信息,请勿应助】请按要求发布求助,避免被关 20000
Continuum Thermodynamics and Material Modelling 2000
Encyclopedia of Geology (2nd Edition) 2000
105th Edition CRC Handbook of Chemistry and Physics 1600
Maneuvering of a Damaged Navy Combatant 650
Периодизация спортивной тренировки. Общая теория и её практическое применение 310
Mixing the elements of mass customisation 300
热门求助领域 (近24小时)
化学 材料科学 医学 生物 工程类 有机化学 物理 生物化学 纳米技术 计算机科学 化学工程 内科学 复合材料 物理化学 电极 遗传学 量子力学 基因 冶金 催化作用
热门帖子
关注 科研通微信公众号,转发送积分 3778363
求助须知:如何正确求助?哪些是违规求助? 3324059
关于积分的说明 10216978
捐赠科研通 3039300
什么是DOI,文献DOI怎么找? 1667944
邀请新用户注册赠送积分活动 798438
科研通“疑难数据库(出版商)”最低求助积分说明 758385